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Assessing the Impact of Political Involvement on the Reliability and Validity of Virtualized Real-time-response Measurement

Bibliographic Data

ID13036659
AuthorsTobias Waldvogel (0000-0002-0268-2135, University of Freiburg, corresponding author), Thomas Metz (0000-0001-6049-3968, University of Freiburg), Uwe Wagschal (0000-0002-6694-232X, University of Freiburg), Bernd Becker (0000-0003-4031-3258, University of Freiburg), Linus Feiten (University of Freiburg), Samuel Weishaupt (University of Freiburg)
Year2021
Volume12
Issue1
Pages53-86
Publication date2021-05-18
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueStatistics Politics and Policy (JOURNAL)
Journal identifiersISSN: 2151-7509 • E-ISSN: 2194-6299
PublisherDe Gruyter (PUBLISHER • DE)
DOI10.1515/spp-2020-0014
OpenAlexW3162304732
LanguageEN
Citations received3
References cited31

How does political involvement impact on data quality of virtualized Real-Time-Response (RTR) Measurement? The article addresses this issue, drawing on a large field study (n = 5660) conducted during the 2017 German general election campaign. Since it is unclear how heterogeneous characteristics of individuals influence data quality of RTR-Measurement from audiences surveyed outside the lab, we assess the impact of political involvement on the reliability and validity of virtualized real-time-response data. We show that political involvement shapes reliability and validity systematically but to a degree that does not compromise established standards of data quality. Thus, we conclude that virtualized RTR outside the laboratory with limited means of control is an appropriate method to survey heterogeneous samples in large N-field studies and therefore offers new paths of data collection

Compromise · Data collection · Data quality · Data science · Field (mathematics · Geography · German · Operations management · Political science · Politics · Quality (philosophy · Reliability (semiconductor · Reliability engineering · Statistics · Survey data collection · Behavioral Health and Interventions · Computer Science · Engineering · Law · Mathematics · Media Influence and Health · Mental Health Research Topics · Psychology

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Unique citing works3
Citations per year0.75
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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